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EP1447678A1 - Verfahren zur Bestimmung eines Qualitätsmasses eines Positionbestimmungsverfahrens für ein zellenbasiertes Telekommunicationsnetzwerk - Google Patents

Verfahren zur Bestimmung eines Qualitätsmasses eines Positionbestimmungsverfahrens für ein zellenbasiertes Telekommunicationsnetzwerk Download PDF

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Publication number
EP1447678A1
EP1447678A1 EP03290369A EP03290369A EP1447678A1 EP 1447678 A1 EP1447678 A1 EP 1447678A1 EP 03290369 A EP03290369 A EP 03290369A EP 03290369 A EP03290369 A EP 03290369A EP 1447678 A1 EP1447678 A1 EP 1447678A1
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EP
European Patent Office
Prior art keywords
measurement
areas
measurement area
sub
cells
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Application number
EP03290369A
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English (en)
French (fr)
Inventor
Günter Köhler
Dirk Nikolai
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Alcatel Lucent SAS
Original Assignee
Alcatel SA
Nokia Inc
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Filing date
Publication date
Application filed by Alcatel SA, Nokia Inc filed Critical Alcatel SA
Priority to EP03290369A priority Critical patent/EP1447678A1/de
Priority to US10/733,398 priority patent/US20040162091A1/en
Publication of EP1447678A1 publication Critical patent/EP1447678A1/de
Withdrawn legal-status Critical Current

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
    • G01S5/0205—Details
    • G01S5/021—Calibration, monitoring or correction

Definitions

  • the present invention relates to the field of wireless location-finding methods, and more particularly without limitation, to methods of determining the position of a mobile station in a cellular wireless telecommunication network.
  • Mobile location finding is to determine the position of a mobile station or user equipment in a cellular wireless telecommunication network.
  • wireless location information can be used for location-sensitive billing, intelligent transport system, resource management and performance enhancement in mobile cellular networks, to name just a few applications.
  • Various wireless location-finding technologies are known from the prior art, such as network-based techniques, handset-based techniques, hybrid techniques involving both the network and the handsets, and other location techniques.
  • Network-based techniques include cell ID, RF finger printing, absolute timing measurements, time difference of arrival (TDOA), angle of arrival (AOA) and TDOA/AOA or other hybrid techniques.
  • Handset-based techniques include GPS and assisted (A)-GPS techniques.
  • Hybrid solutions include enhanced observed time difference (EOTD).
  • EOTD enhanced observed time difference
  • AOA calculates the angle of a signal as it arrives at two base stations.
  • TDOA measures the time difference of the same signal arriving at three separate base stations.
  • GPS positioning is limited to enhanced phone models as it relies on Global Positioning System (GPS)-enablement of the actual handset. It requires supplementary assistance data known as Assisted (A)-GPS, to enable fast time-to-fix and in-building coverage.
  • GPS Global Positioning System
  • A Assisted
  • the present invention provides for a method of determining a quality measure of a position measurement method for a cellular telecommunication network. This enables to objectively compare various position measurement methods and equipment based on any wireless location-finding technology.
  • At least two different measurement areas are identified in the network for the evaluation of the performance of a given position measurement method or equipment in a given cellular telecommunication network.
  • one of the measurement areas is a rural area, whereas the other measurement area is a populated metropolitan area with a high density of transceiver stations.
  • one or more measurement areas can be defined for regions having transceiver station densities between the extremes of the rural area and the metropolitan area. The determination of the measurement areas is performed based on cell size. A region having a low transceiver station density is characterised by large cells, whereas a region having a high transceiver station density has a much smaller cell size.
  • the measurement areas are divided into sub-areas by applying a predefined grid.
  • the predefined grid is not correlated to the cell structure.
  • Position measurements are then performed in at least a sub-set of the sub-areas of the measurement areas.
  • the results of the position measurements are compared to reference data for determining the accuracy of the position measurements.
  • the measurement errors provided by the comparison to the reference position data are used as a basis for determining an objective quality measure.
  • the measurement errors can be averaged for each of the measurement areas to provide a quality measure per measurement area.
  • an overall quality measure can be calculated, for example by averaging of all of the measurement errors or by calculating a weighted average.
  • position measurements are performed within at least a predefined fraction or percentage of the sub-areas in each one of the measurement areas.
  • the sub-set of the sub-areas in which position measurements are performed can be selected randomly.
  • Another possibility to select the sub-areas for the position measurements is based on practical considerations, such as accessibility of a given sub-area. If a relatively high percentage, such as 60% of the sub-areas in a given measurement area needs to be selected, this still ensures that enough measurements are performed to guarantee an objective result.
  • a weather condition can be specified for the performance of the measurements.
  • the measurements are to be performed at a number of various weather conditions, whereby all of the various weather conditions are also specified.
  • the position measurements are performed along a measurement route.
  • the position measurements are performed at equidistant time intervals while travelling along the measurement route.
  • the measurement route is split into measurement route segments which are evenly distributed within the measurement area and which are in average roughly orthogonal.
  • the measurements along the measurement route are performed on the basis of a speed profile. This is to ensure that the position measurements are performed at all relevant speeds, such as when driving slowly in a residential area, driving in the city centre and driving on a motorway.
  • measurement categories are defined, such as categories for indoor and outdoor measurements as well as for measurements in a car. In this instance it is preferred that the minimum number of measurements to be performed is made dependent on the category of the measurement.
  • a network planning tool such as a radio network planning (RNP) or a radio network optimisation (RNO) tool
  • RNP radio network planning
  • RNO radio network optimisation
  • These databases can be used in order to plan precision measurements, and in particular measurement routes and measurement route segments, by means of a planning tool.
  • this planning tool can be integrated into the same computer system as the RNP or RNO tool.
  • a single measurement area belonging to a specific class of measurement areas is selected for determining an objective quality measure for a given position measurement method. This way the performance of the position measurement method can be compared with other position measurement methods or a similar competitive position measurement method with respect to specific environment conditions, such as transceiver density and/or other criteria.
  • Figure 1 shows a flow chart which is illustrative of a method of determining a quality measure of a position measurement method for a cellular telecommunication network.
  • step 100 at least two different measurement areas are identified in the cellular telecommunication network.
  • the first measurement area has a large cell size. Such a measurement area can be found in a rural area with a low population density.
  • the second measurement area has cells with a small cell size.
  • a measurement area can be found in a metropolitan area.
  • the criterion for the first measurement area is to identify a minimum number of neighbouring cells, where each of the cells has at least a certain minimum size.
  • the criterion for the second measurement area can be a minimum number of neighbouring cells, where each of the cells does not surpass a given maximum cell size.
  • the measurement areas are divided into sub-areas. This is done by applying a grid on the measurement areas which is independent from the cell topology in the measurement area. For example a rectangular grid can be used for this purpose.
  • a grid on the measurement areas which is independent from the cell topology in the measurement area. For example a rectangular grid can be used for this purpose.
  • step 104 at least a certain predefined percentage or fraction of the sub-areas of the measurement areas is selected for performance of the position measurements.
  • the sub-areas can be selected randomly or on the basis of another criterion. For example, sub-areas which are difficult to access are de-selected while other sub-areas being reachable by car are selected instead.
  • an arbitrary route having at least a predefined length is planned in the measurement area. It is then checked whether the route covers at least the predefined percentage or fraction of the sub-areas of the measurement area considered. If this is not the case the route is changed and checked again. This process is repeated iteratively until the predefined percentage or fraction condition is fulfilled.
  • step 106 position measurements are performed in the selected sub-areas. For example a predefined number of measurements is performed per sub-area.
  • step 108 the measurement errors of the position measurements are determined by comparison of the measurement results with reference values.
  • reference values are obtained by precise position measurements by means of reference position measurement equipment.
  • a quality measure is calculated based on the measurement errors. For example, a separate quality measure is calculated for each one of the measurement areas by calculating the average measurement errors within the given measurement area. Alternatively or in addition an overall quality measure is calculated, for example by calculating a weighted average of the measurement errors.
  • FIG. 2 shows cellular network 200.
  • Cellular network 200 covers rural area 202 and metropolitan area 204, such as the centre of a major city.
  • rural area 202 has large cells of for example above 10 square kilometres per cell.
  • metropolitan area 204 has small cells of less than 0.5 square kilometres per cell.
  • Measurement area 206 is selected within rural area 202. Measurement area 206 covers a predefined minimum number of cells, such as eight cells. If the size of each one of the cells is above 10 square kilometres the size of measurement area 206 is above 100 square kilometres.
  • Measurement area 206 is divided into predefined sub-areas 208 of equal size and shape.
  • measurement area 206 is divided into 100 sub-areas 208 by a 10 times 10 rectangular grid.
  • the grid size shown in figure 2 is 5 times 5 resulting in a number of 25 sub-areas 208.
  • Measurement area 210 is selected within a metropolitan area 204. Again measurement area 210 covers the predefined minimum number of cells within metropolitan area 204. Measurement area 210 is divided into the same number of sub-areas as measurement area 206. Again this can be accomplished by applying a 10 times 10 or 5 times 5 rectangular grid on measurement area 210. This results in sub-areas 212 of equal size and shape which are smaller than sub-areas 208. The overall size of measurement area 210 can be roughly four square kilometres.
  • measurement areas of intermediate size can be identified.
  • classification can be used: Class A > 10 km 2 /cell Class B up to 10 km 2 /cell Class C up to 2 km 2 /cell Class D up to 0.5 km 2 /cell
  • This classification can be refined by means of the following categories: Category 1 outdoor Category 2 incar Category 3 Indoor
  • Combinations hereof result in several classes, e.g. A, B, C1, C2, C3, D1, D2 and D3.
  • the total size of a measurement area depends on the dedicated class and should cover at least 8 cells. This results in measurement area sizes of approximately Class A > 100 km 2 Class B 100 km 2 Class C 16 km 2 Class D 4 km 2
  • the shape of a measurement area should be approximately square and is further subdivided into 10 time 10 squares of equal size.
  • a defined percentage of all 100 sub-squares has to be used for the measurement campaign, i.e. measurements have to be performed in a given number of squares. For example, 40% of the squares can be left out.
  • a measurement route is planned for each measurement area.
  • a predefined number of measurements can be prescribed per sub-area.
  • the route segments should be evenly distributed in the measurement area and must touch at least a certain number (e.g. 60%) of the 100 sub-squares (see above).
  • Figure 3 shows a block diagram of a computer system 300 which has a network planning tool 302 and measurement planning program 304.
  • Network planning tool provides standard radio network and/or radio network optimisation features.
  • network planning tool 302 has database 306 for providing of cartographic and network topology data.
  • Measurement planning program 304 uses database 306 for identification of measurement areas in the network and for planning of measurement routes within the measurement areas.
  • measurement planning program 304 receives parameter set 308 which comprises a description of the planning task.
  • the parameter set 308 contains a definition of the classes and categories of measurement areas to be identified within the network topology.
  • Further parameter set 308 contains a definition of the grid to be used for sub-dividing the measurement areas into sub-areas.
  • Further parameter set 308 can contain an indication of the percentage of the sub-areas in which measurements need to be performed.
  • Further parameter set 308 can comprise an indication of a speed profile, i.e. a number of measurements to be performed at various speeds.
  • the specification provided by parameter set 308 is used by measurement planning program 308 to generate a measurement plan on the basis of cartographic and network topology data of database 306.
  • the resulting measurement plan 310 contains a description of the measurement routes and the sequence of measurements to be performed while travelling along the measurement routes.
  • Figure 4 shows an example for the planning information provided by the measurement planning program 304 with respect to one of the measurement areas.
  • Measurement area 400 is one of the measurement areas which has been automatically identified by measurement planning program 304 (cf. figure 3). Measurement area 400 is divided into sub-areas 402. Within measurement 400 a number of nine measurement route segments 404 have been planned. The measurement route segments are in average roughly orthogonal or parallel as the direction of movement with respect to a base station can provide varying levels of precision depending on the position measurement method.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Mobile Radio Communication Systems (AREA)
EP03290369A 2003-02-15 2003-02-15 Verfahren zur Bestimmung eines Qualitätsmasses eines Positionbestimmungsverfahrens für ein zellenbasiertes Telekommunicationsnetzwerk Withdrawn EP1447678A1 (de)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP03290369A EP1447678A1 (de) 2003-02-15 2003-02-15 Verfahren zur Bestimmung eines Qualitätsmasses eines Positionbestimmungsverfahrens für ein zellenbasiertes Telekommunicationsnetzwerk
US10/733,398 US20040162091A1 (en) 2003-02-15 2003-12-12 Method of determining a quality measure of a position measurement method for a cellular telecommunication network

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EP03290369A EP1447678A1 (de) 2003-02-15 2003-02-15 Verfahren zur Bestimmung eines Qualitätsmasses eines Positionbestimmungsverfahrens für ein zellenbasiertes Telekommunicationsnetzwerk

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Cited By (2)

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WO2008020789A1 (en) * 2006-08-14 2008-02-21 Telefonaktiebolaget L M Ericsson (Publ) A method and arrangement for providing location information on a communication terminal
EP2901737A4 (de) * 2012-09-27 2016-06-15 Ericsson Telefon Ab L M Erkennung mehrerer pfade und bestimmung von positionierungs-messfehlern

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EP4435685A1 (de) * 2023-03-21 2024-09-25 Netzsch Gerätebau GmbH Verfahren zur steuerung eines systems und system

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Publication number Priority date Publication date Assignee Title
WO2008020789A1 (en) * 2006-08-14 2008-02-21 Telefonaktiebolaget L M Ericsson (Publ) A method and arrangement for providing location information on a communication terminal
EP2901737A4 (de) * 2012-09-27 2016-06-15 Ericsson Telefon Ab L M Erkennung mehrerer pfade und bestimmung von positionierungs-messfehlern
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